scholarly journals Author Correction: Heavy reliance on plants for Romanian cave bears evidenced by amino acid nitrogen isotope analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuichi I. Naito ◽  
Ioana N. Meleg ◽  
Marius Robu ◽  
Marius Vlaicu ◽  
Dorothée G. Drucker ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

2014 ◽  
Vol 63 (5) ◽  
pp. 399-403 ◽  
Author(s):  
Rie SATO ◽  
Hidehiko KAWANISHI ◽  
Arndt SCHIMMELMANN ◽  
Yaeko SUZUKI ◽  
Yoshito CHIKARAISHI

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuichi I. Naito ◽  
Ioana N. Meleg ◽  
Marius Robu ◽  
Marius Vlaicu ◽  
Dorothée G. Drucker ◽  
...  

Abstract Heavy reliance on plants is rare in Carnivora and mostly limited to relatively small species in subtropical settings. The feeding behaviors of extinct cave bears living during Pleistocene cold periods at middle latitudes have been intensely studied using various approaches including isotopic analyses of fossil collagen. In contrast to cave bears from all other regions in Europe, some individuals from Romania show exceptionally high δ15N values that might be indicative of meat consumption. Herbivory on plants with high δ15N values cannot be ruled out based on this method, however. Here we apply an approach using the δ15N values of individual amino acids from collagen that offsets the baseline δ15N variation among environments. The analysis yielded strong signals of reliance on plants for Romanian cave bears based on the δ15N values of glutamate and phenylalanine. These results could suggest that the high variability in bulk collagen δ15N values observed among cave bears in Romania reflects niche partitioning but in a general trophic context of herbivory.


Oikos ◽  
2021 ◽  
Author(s):  
Philip M. Riekenberg ◽  
Tijs Joling ◽  
Lonneke L. IJsseldijk ◽  
Andreas M. Waser ◽  
Marcel T. J. van der Meer ◽  
...  

2012 ◽  
Vol 405 (9) ◽  
pp. 2857-2867 ◽  
Author(s):  
Kathrin Schreglmann ◽  
Martina Hoeche ◽  
Sibylle Steinbeiss ◽  
Sandra Reinnicke ◽  
Martin Elsner

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